AWS Case Study: leading US healthcare services company
- Marcelo Firpo
- May 26
- 4 min read
Transparency in financial operations through real-time analytics.
Automation in data ingestion, transformation, and querying
Scalability with cloud-based infrastructure
AI-generated summary:
A leading U.S. healthcare services company specializing in EMS-related financial processing partnered with BlueMetrics to overcome challenges in data scalability and reporting. As transaction volume and complexity increased, their legacy tools lacked the precision needed for transparent, detailed analysis. BlueMetrics designed a modern data platform using AWS services—Amazon S3 for a flexible data lake, Redshift for high-performance warehousing, Athena for serverless querying, and EC2 for application orchestration. This new infrastructure enabled faster, more granular reporting, improved client transparency, and supported business growth, including onboarding four new payment systems. The case highlights how a strategic data foundation can drive operational efficiency and significant expansion.
About the customer
The customer is a prominent provider of specialized services within the U.S. healthcare sector. Their core function involves acting as a crucial intermediary in the financial processes related to emergency medical services (EMS).
This role requires navigating complex financial flows and ensuring accurate processing between multiple parties within the healthcare ecosystem. The organization operates with a strong emphasis on ethical practices and compliance, dedicated to facilitating the necessary financial transactions for their clients while providing attentive service.
Customer challenge
Operating as a key intermediary in healthcare financial transactions necessitates a high degree of transparency and the consistent generation of detailed analytical reports. Although the company had an existing platform for data analysis, the significant expansion in their operational scale and the increasing volume of transactions began to challenge its capabilities.
The growing complexity and sheer quantity of data meant their current reporting tools lacked the required granularity and precision. This limitation presented a potential obstacle to maintaining the transparency expected by their partners and clients, potentially hindering their ability to efficiently scale operations, integrate new business logic, and ultimately impacting the overall user experience and potential for business growth.
Partner solution
To address the customer's challenge of scaling their data analysis and reporting capabilities, BlueMetrics leveraged their data engineering expertise to design and implement a robust new data infrastructure built entirely on Amazon Web Services (AWS). This comprehensive solution centered around the development of a modern data lake and a highly optimized data warehouse.
The data lake was constructed using Amazon S3, providing a scalable and cost-effective repository to ingest and store vast amounts of raw, diverse data from the customer's various operational sources. This flexible foundation allows for storing data in its native format, ready for various types of processing and analysis.
Building upon the data lake, BlueMetrics implemented a data warehouse using Amazon Redshift. Redshift was chosen for its powerful analytical capabilities and ability to handle complex queries over structured data, making it the ideal source for the customer's data analytics solution and detailed reporting needs. To facilitate querying the raw data stored in the S3 data lake without needing to load it into the data warehouse, Amazon Athena was utilized. Athena provided a serverless query service, allowing for agile exploration and analysis directly on the data in S3 using standard SQL.
Furthermore, the solution architecture designed by BlueMetrics included the use of Amazon EC2 instances. These virtual servers were deployed to run various applications essential to the overall data pipeline and solution, including data ingestion processes, transformation scripts, and other operational tools required to move and prepare data for both the data lake and the data warehouse. By combining these key AWS services – S3 for scalable storage, Athena for flexible querying, Redshift for high-performance warehousing, and EC2 for application hosting – BlueMetrics created a resilient, scalable, and efficient data platform that directly addressed the customer's need for enhanced reporting and scalability.
Results and benefits
The implementation of the new data lake and data warehouse infrastructure built on AWS by BlueMetrics yielded significant, measurable results for the customer. With the enhanced ability to generate reports with greater speed, specificity, and the inclusion of new business rules, the user experience for the customer's clients improved immensely. This increased transparency and efficiency directly contributed to business growth. Specifically, these improvements led to the successful integration and adoption of the service by four new payment processing systems.
These four systems collectively represent hundreds of individual companies utilizing the customer's services. This substantial expansion of their client base created significant momentum, fostering opportunities for the acquisition of additional companies that offer synergy with the customer's existing operations. This case clearly demonstrates that a well-executed data strategy, focused on building scalable and flexible data infrastructure using key AWS services, can translate directly into substantial financial results and drive significant business expansion.
About the partner
BlueMetrics is a firm specializing in AI and data projects, dedicated to generating immediate and concrete business value for their clients. With a proven track record of over 160 successful projects delivered to more than 70 leading companies across the United States and Latin America, BlueMetrics operates under the core philosophy of "Good Data, Good AI," emphasizing that a solid, well-structured data foundation is paramount for effective artificial intelligence and advanced analytics.
Their key differentiator lies in combining deep technical expertise in data engineering, GenAI, and Machine Learning with a practical, results-oriented approach and a proprietary multidisciplinary methodology. As an AWS Certified partner with demonstrated expertise across major cloud platforms, BlueMetrics' experienced team partners closely with clients like this leading healthcare services provider to build robust data solutions that transform information into real, measurable business value and drive strategic growth.
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